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The first-party LangChain example connects the hosted Magic Hour MCP server to a LangGraph workflow. It uses the released MCP adapter 2 API and your existing Magic Hour API key. No separate model key is needed to run it.

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Install and check your key

Use Node.js 22 or newer:
Get an API key. The read-only check discovers tools and verifies authentication with account_retrieve. Public discovery alone does not prove that a key works.

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Create an image

This requests one Flux 2 Klein image at 640px, saves its project ID, waits for completion, and downloads the output. The example also supports --mode edit and --mode animate with a public image URL or uploaded Magic Hour file_path. See input files for uploading your own media.
Generation spends Magic Hour credits. At the documented rates, the example’s fixed image settings use 5 credits and its one-second LTX 2.5 animation uses 24. --max-credits checks those fixed settings locally; it is not a provider-side spending limit or live quote. Check models and credit costs before running.

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Recover an asynchronous job

Add --submit-only to return immediately after the accepted project ID is saved. Then use the actual recovery path printed by the command:
Resume retrieves the saved project and downloads the finished file. It never invokes the generation tool again. Rendering delays, terminal failures, and missing downloads are handled separately. If a creation response is lost before you have an ID, inspect project history before retrying to avoid another paid job. The example preserves signed download URLs exactly and does not forward the API key to output hosts. Private recovery records, local media, and receipts are ignored by Git. Source and validation include the graph embedding API and controlled recovery tests.